A machine understandable representation of human know-how can be applied in a wide variety of areas ranging from Information Retrieval to Service Recommendation [1]}. Two notable applications will be discussed here, namely Activity Recognition and process automation. The goal of Activity Recognition is to identify a top level activity (or intention) from a set of observations [2]}. The intention of preparing tea, for example, could be inferred after observing an agent boiling water and placing a tea bag in a cup. A challenge faced by Activity Recognition systems is the acquisition of a model of the activities to be recognized. This model can be extracted from human know-how on the Web and used to recognize common human activities [3]}.
